Biologically Reasoned Point-of-Interest Image Compression for Mobile Robots

  • M. Podpora
  • J. Sadecki
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 60)


In this paper authors describe image compression based on the idea of biological “yellow spot” in which the quality/resolution is variable, depending on the distance from the point-of-interest. Reducing the amount of data in a robot’s vision system enables to use a computer cluster for non-time-critical “mental” processing tasks like “memories” or “associations”. This approach can be particularly useful in HTM-based data processing of robot’s vision system data.


Mobile Robot Object Recognition Image Compression Threshold Function Computer Cluster 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • M. Podpora
    • 1
  • J. Sadecki
    • 1
  1. 1.Department of Electrical and Computer EngineeringOpole University of TechnologyOpolePoland

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